
import copy
from collections import OrderedDict
from typing import Dict, Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto import CONFIG_MAPPING


lowercase    :   Union[str, Any]		       =				logging.get_logger(__name__)

lowercase    :   List[str]		       =				{
    """facebook/detr-resnet-50""": """https://huggingface.co/facebook/detr-resnet-50/resolve/main/config.json""",
    # See all DETR models at https://huggingface.co/models?filter=detr
}

class __snake_case						( __snake_case	):
    _a						:		Dict=							'detr'
    _a						:		Union[str, Any]=							['past_key_values']
    _a						:		Tuple=							{
        'hidden_size': 'd_model',
        'num_attention_heads': 'encoder_attention_heads',
    }
    def __init__(    self						,snake_case=True						,snake_case=None						,snake_case=3						,snake_case=100						,snake_case=6						,snake_case=2048						,snake_case=8						,snake_case=6						,snake_case=2048						,snake_case=8						,snake_case=0.0						,snake_case=0.0						,snake_case=True						,snake_case="relu"						,snake_case=256						,snake_case=0.1						,snake_case=0.0						,snake_case=0.0						,snake_case=0.02						,snake_case=1.0						,snake_case=False						,snake_case="sine"						,snake_case="resnet50"						,snake_case=True						,snake_case=False						,snake_case=1						,snake_case=5						,snake_case=2						,snake_case=1						,snake_case=1						,snake_case=5						,snake_case=2						,snake_case=0.1						,**snake_case						,):



           '''simple docstring'''







           if backbone_config is not None and use_timm_backbone:
                  raise ValueError("""You can\'t specify both `backbone_config` and `use_timm_backbone`.""" )

           if not use_timm_backbone:
                  if backbone_config is None:
                         logger.info("""`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.""" )
                         lowercase				:	int			      = CONFIG_MAPPING["""resnet"""](out_features=["""stage4"""] )
                  elif isinstance(snake_case						,snake_case ):
                         lowercase				:	str			      = backbone_config.get("""model_type""" )
                         lowercase				:	str			      = CONFIG_MAPPING[backbone_model_type]
                         lowercase				:	int			      = config_class.from_dict(snake_case )
                  # set timm attributes to None
                  lowercase      ,     lowercase      ,     lowercase				:	List[Any]			      = None, None, None

           lowercase				:	Union[str, Any]			      = use_timm_backbone
           lowercase				:	List[str]			      = backbone_config
           lowercase				:	List[str]			      = num_channels
           lowercase				:	List[Any]			      = num_queries
           lowercase				:	Optional[int]			      = d_model
           lowercase				:	str			      = encoder_ffn_dim
           lowercase				:	Dict			      = encoder_layers
           lowercase				:	List[Any]			      = encoder_attention_heads
           lowercase				:	List[Any]			      = decoder_ffn_dim
           lowercase				:	Union[str, Any]			      = decoder_layers
           lowercase				:	Optional[int]			      = decoder_attention_heads
           lowercase				:	Optional[Any]			      = dropout
           lowercase				:	Dict			      = attention_dropout
           lowercase				:	Optional[int]			      = activation_dropout
           lowercase				:	int			      = activation_function
           lowercase				:	Union[str, Any]			      = init_std
           lowercase				:	Dict			      = init_xavier_std
           lowercase				:	List[Any]			      = encoder_layerdrop
           lowercase				:	Union[str, Any]			      = decoder_layerdrop
           lowercase				:	int			      = encoder_layers
           lowercase				:	Union[str, Any]			      = auxiliary_loss
           lowercase				:	int			      = position_embedding_type
           lowercase				:	List[str]			      = backbone
           lowercase				:	List[str]			      = use_pretrained_backbone
           lowercase				:	str			      = dilation
           # Hungarian matcher
           lowercase				:	List[str]			      = class_cost
           lowercase				:	Dict			      = bbox_cost
           lowercase				:	int			      = giou_cost
           # Loss coefficients
           lowercase				:	List[str]			      = mask_loss_coefficient
           lowercase				:	Dict			      = dice_loss_coefficient
           lowercase				:	Tuple			      = bbox_loss_coefficient
           lowercase				:	List[Any]			      = giou_loss_coefficient
           lowercase				:	int			      = eos_coefficient
           super().__init__(is_encoder_decoder=snake_case						,**snake_case )
    @property
    def  _SCREAMING_SNAKE_CASE			(    self ):



           '''simple docstring'''







           return self.encoder_attention_heads
    @property
    def  _SCREAMING_SNAKE_CASE			(    self ):



           '''simple docstring'''







           return self.d_model
    @classmethod
    def  _SCREAMING_SNAKE_CASE			(    cls						,snake_case						,**snake_case ):



           '''simple docstring'''







           return cls(backbone_config=snake_case						,**snake_case )
    def  _SCREAMING_SNAKE_CASE			(    self ):



           '''simple docstring'''







           lowercase				:	int			      = copy.deepcopy(self.__dict__ )
           if output["backbone_config"] is not None:
                  lowercase				:	Tuple			      = self.backbone_config.to_dict()
           lowercase				:	str			      = self.__class__.model_type
           return output






class __snake_case						( __snake_case	):
    _a						:		List[str]=							version.parse("1.11"	)
    @property
    def  _SCREAMING_SNAKE_CASE			(    self ):



           '''simple docstring'''







           return OrderedDict(
               [
                   ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
                   ("""pixel_mask""", {0: """batch"""}),
               ] )
    @property
    def  _SCREAMING_SNAKE_CASE			(    self ):



           '''simple docstring'''







           return 1e-5
    @property
    def  _SCREAMING_SNAKE_CASE			(    self ):



           '''simple docstring'''







           return 12




"""simple docstring"""



import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_convbert import ConvBertTokenizer


lowercase_							=							logging.get_logger(__name__)

lowercase_							=							{'vocab_file': 'vocab.txt'}

lowercase_							=							{
    'vocab_file': {
        'YituTech/conv-bert-base': 'https://huggingface.co/YituTech/conv-bert-base/resolve/main/vocab.txt',
        'YituTech/conv-bert-medium-small': (
            'https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/vocab.txt'
        ),
        'YituTech/conv-bert-small': 'https://huggingface.co/YituTech/conv-bert-small/resolve/main/vocab.txt',
    }
}

lowercase_							=							{
    'YituTech/conv-bert-base': 5_12,
    'YituTech/conv-bert-medium-small': 5_12,
    'YituTech/conv-bert-small': 5_12,
}


lowercase_							=							{
    'YituTech/conv-bert-base': {'do_lower_case': True},
    'YituTech/conv-bert-medium-small': {'do_lower_case': True},
    'YituTech/conv-bert-small': {'do_lower_case': True},
}







class    __a						( __snake_case							):
				lowerCamelCase     :       Optional[int]			       =VOCAB_FILES_NAMES
				lowerCamelCase     :       List[str]			       =PRETRAINED_VOCAB_FILES_MAP
				lowerCamelCase     :       str			       =PRETRAINED_INIT_CONFIGURATION
				lowerCamelCase     :       Any			       =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowerCamelCase     :       List[str]			       =ConvBertTokenizer







				def __init__( self      ,	UpperCAmelCase=None      ,	UpperCAmelCase=None      ,	UpperCAmelCase=True      ,	UpperCAmelCase="[UNK]"      ,	UpperCAmelCase="[SEP]"      ,	UpperCAmelCase="[PAD]"      ,	UpperCAmelCase="[CLS]"      ,	UpperCAmelCase="[MASK]"      ,	UpperCAmelCase=True      ,	UpperCAmelCase=None      ,	**UpperCAmelCase      ,	):

					'''simple docstring'''






					super().__init__(
					    UpperCAmelCase      ,	tokenizer_file=UpperCAmelCase      ,	do_lower_case=UpperCAmelCase      ,	unk_token=UpperCAmelCase      ,	sep_token=UpperCAmelCase      ,	pad_token=UpperCAmelCase      ,	cls_token=UpperCAmelCase      ,	mask_token=UpperCAmelCase      ,	tokenize_chinese_chars=UpperCAmelCase      ,	strip_accents=UpperCAmelCase      ,	**UpperCAmelCase      ,	)

					lowerCAmelCase_      							=			json.loads(self.backend_tokenizer.normalizer.__getstate__()   )
					if (
					    normalizer_state.get('''lowercase'''      ,	UpperCAmelCase   ) != do_lower_case
					    or normalizer_state.get('''strip_accents'''      ,	UpperCAmelCase   ) != strip_accents
					    or normalizer_state.get('''handle_chinese_chars'''      ,	UpperCAmelCase   ) != tokenize_chinese_chars
					):
						lowerCAmelCase_      							=			getattr(UpperCAmelCase      ,	normalizer_state.pop('''type'''   )   )
						lowerCAmelCase_      							=			do_lower_case
						lowerCAmelCase_      							=			strip_accents
						lowerCAmelCase_      							=			tokenize_chinese_chars
						lowerCAmelCase_      							=			normalizer_class(**UpperCAmelCase   )

					lowerCAmelCase_      							=			do_lower_case







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase      ,	UpperCAmelCase=None   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			[self.cls_token_id] + token_ids_a + [self.sep_token_id]

					if token_ids_a:
						output += token_ids_a + [self.sep_token_id]

					return output







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase      ,	UpperCAmelCase = None   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			[self.sep_token_id]
					lowerCAmelCase_      							=			[self.cls_token_id]
					if token_ids_a is None:
						return len(cls + token_ids_a + sep   ) * [0]
					return len(cls + token_ids_a + sep   ) * [0] + len(token_ids_a + sep   ) * [1]







				def      lowerCamelCase_     ( self      ,	UpperCAmelCase      ,	UpperCAmelCase = None   ):

					'''simple docstring'''






					lowerCAmelCase_      							=			self._tokenizer.model.save(UpperCAmelCase      ,	name=UpperCAmelCase   )
					return tuple(UpperCAmelCase   )